End-to-End Data Commodity Delivery Based on Metadata
Authors: 
Yaqing Si, Yuqian Huang, Tao Wang, Jing SuAuthors Info & Claims
Yaqing Si, Yuqian Huang, Tao Wang, Jing SuAuthors Info & ClaimsArticle No.: 36, Pages 1 - 5
Abstract
By investigating the status of data commodity delivery after the completion of payment transactions by mainstream data trading platforms at home and abroad, this paper proposes an end-to-end data commodity delivery solution based on metadata. Designed and developed a secure, automated and standardized data service API interface specification from the two aspects of data commodity content description and acquisition method, and recorded data products, transactions and delivery process information on the blockchain. Effectively support the registration and authentication of data products, transaction process management, data demanders' understanding and use of purchased data, and market supervision.
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Index Terms
- End-to-End Data Commodity Delivery Based on Metadata
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Information & Contributors
Information
Published In
October 2020
1038 pages
ISBN:9781450377720
DOI:10.1145/3424978
- Conference Chair:
- Ali Emrouznejad,
- Program Chair:
- Jui-Sheng Rayson Chou
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 20 October 2020
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- Research-article
- Research
- Refereed limited
Funding Sources
- National Key R&D Program of China
Conference
CSAE 2020
CSAE 2020: The 4th International Conference on Computer Science and Application Engineering
October 20 - 22, 2020
Sanya, China
Acceptance Rates
CSAE '20 Paper Acceptance Rate 179 of 387 submissions, 46%;
Overall Acceptance Rate 368 of 770 submissions, 48%
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